15 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Data Engineer, Event Data
130Β 000 - 165Β 000CAD
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Data Engineer, Event Data (Elixir/Python): Building and operating event streaming pipelines, analytical databases, and data services that process billions of client and internal events with an accent on low-latency access, reliability, and high availability. Focus on integrating legacy and modern architectures, defining event data contracts, and building observability for production-scale systems.
Location: Toronto, Canada (Remote)
Salary: CAD 130,000β165,000 base pay annually, with potential additional bonus and benefits.
Company
provides content personalization, data-activated content generation, and AI decisioning solutions for marketers.
What you will do
- Design, build, and maintain event streaming pipelines ingesting data from client systems, internal services, and third-party sources.
- Develop and operate analytical databases and data models optimized for high-volume event queries and low-latency access.
- Build production Elixir and Python services for event processing, transformation, and routing.
- Integrate legacy pipelines with modern streaming infrastructure and design low-risk migration paths.
- Implement monitoring, alerting, observability, data contracts, schemas, and quality standards for event data systems.
- Collaborate with data platform, product engineering, and analytics teams on reliable event data products and system design practices.
Requirements
- Strong proficiency in Elixir and/or Python for application connectors, data services, and pipeline components.
- Advanced SQL skills for data modeling, query optimization, and analytical workloads.
- Production experience with columnar or OLAP databases and stream processing frameworks or message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis.
- Experience integrating and migrating legacy and modern systems, including production monitoring, alerting, SLA dashboards, and runbooks.
- Experience designing and operating data systems on AWS.
- Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation, plus strong collaboration and technical communication skills.
Nice to have
- Experience with Flink, Databricks, or Kafka, Pulsar, and Kinesis.
- GCP experience.
- Experience with retail event data such as clickstream, purchase, or product interaction data.
Culture & Benefits
- Remote position based in Toronto.
- Additional bonus may be included depending on the position offered.
- Medical, financial, and other benefits are provided.
- Inclusive and equal-opportunity workplace.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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